A comparative study on gene selection methods for tissues classification on large scale gene expression data
Deoxyribonucleic acid (DNA) microarray technology is the recent invention that provided colossal opportunities to measure a large scale of gene expressions simultaneously.However, interpreting large scale of gene expression data remain a challenging issue due to their innate nature of “high dimensio...
Glavni autor: | Ahmad, Farzana Kabir |
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Format: | Članak |
Jezik: | English |
Izdano: |
Penerbit UTM Press
2016
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Teme: | |
Online pristup: | https://repo.uum.edu.my/id/eprint/20187/1/JT%2078%205-10%202016%20116%E2%80%93125.pdf |
Slični predmeti
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Filter-Based Gene Selection Method for Tissues Classification on Large Scale Gene Expression Data
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Effective gene selection techniques for classification of gene expression data
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Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
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Gene selection for high dimensional data using k-means clustering algorithm and statistical approach
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Data mining techniques for large-scale gene expression analysis
od: Palmer, Nathan Patrick
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